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Comparison · Infra & APIs

Depot vs Raycast

A side-by-side editorial comparison of Depot and Raycast — release velocity, themes, recent moves, and the top alternatives to consider.

Depot vs Raycast: at a glance

FeatureDepotRaycast
SectorInfra & APIsInfra & APIs
Velocity score6.30.0
Sparks · 30d10
Top themesci-cd, build-acceleration, test-analytics, source-controlai-orchestration, byok, local-models, agentic-workflows
Last editorial update1d ago3mo ago
Website

What is Depot?

Depot is expanding from faster builds into the whole CI stack — tests, source control, and its own metal.

Depot has spent the last month building outward from build acceleration. Test results went generally available with JUnit ingest, org-wide flaky and slow test analytics, and timing-based shard balancing. Underneath that, Depot Metal moved CI and Sandboxes onto bare-metal microVMs the company controls end to end, and Depot Code entered private beta as a diskless git server backed by blob storage. The smaller releases fill in the surrounding surface: Tailscale access to private networks, GitLab OIDC, Datadog CI Visibility, stacked pull requests, and macOS 26 runners on M4.

Read the full Depot trajectory →

What is Raycast?

Raycast is no longer a launcher — it's a Mac-native AI orchestration layer.

Raycast spent 2025 converting itself from a keyboard launcher into a full AI client: model marketplace via BYOK and Ollama, AI Extensions that hook into apps, an iOS companion, and a Granola-powered meeting transcriber. The launcher chrome is intact, but the product's gravity now sits on the AI tab. Every recent release either adds models, adds context surfaces, or polishes the OS shell around them.

Read the full Raycast trajectory →

Depot vs Raycast: editorial side-by-side

D
Depot
INFRA · APIS
6.3

Depot is expanding from faster builds into the whole CI stack — tests, source control, and its own metal.

◆ Current state

Depot has spent the last month building outward from build acceleration. Test results went generally available with JUnit ingest, org-wide flaky and slow test analytics, and timing-based shard balancing. Underneath that, Depot Metal moved CI and Sandboxes onto bare-metal microVMs the company controls end to end, and Depot Code entered private beta as a diskless git server backed by blob storage. The smaller releases fill in the surrounding surface: Tailscale access to private networks, GitLab OIDC, Datadog CI Visibility, stacked pull requests, and macOS 26 runners on M4.

◆ Where it's heading

Each layer Depot adds is one it previously rented — compute from cloud runners, source hosting from GitHub, test insight from nothing at all. Owning the storage and hypervisor tiers is what makes the performance claims possible, and owning test data is what turns a build accelerator into something that reports on the pipeline rather than just running it faster. The pattern suggests Depot is positioning as the full CI platform, with speed as the entry point rather than the product.

◆ Prediction

Depot Code should move from private to open beta with tighter Depot CI integration, since a git server the company controls is what makes source-aware caching and test selection possible. Expect the test analytics to grow toward selecting which tests to run, not only how to split them.

R
Raycast
INFRA · APIS
0.0

Raycast is no longer a launcher — it's a Mac-native AI orchestration layer.

◆ Current state

Raycast spent 2025 converting itself from a keyboard launcher into a full AI client: model marketplace via BYOK and Ollama, AI Extensions that hook into apps, an iOS companion, and a Granola-powered meeting transcriber. The launcher chrome is intact, but the product's gravity now sits on the AI tab. Every recent release either adds models, adds context surfaces, or polishes the OS shell around them.

◆ Where it's heading

The clear arc is moving AI usage out of subscription-locked credits and into user-owned plumbing — local models via Ollama, customer keys for the major frontier providers, free-tier credits to seed adoption, and extensions that turn third-party apps into MCP-like tools. Raycast is positioning itself as the most opinionated AI client on macOS, betting that distribution and UX are durable even as model access commoditizes.

◆ Prediction

Expect deeper agentic flows next: Auto Models and Chat Branching are foundations for multi-step background agents, and the Granola integration suggests more vertical productivity bundles (calendar, mail, browsing) will be wired into AI Extensions before any new launcher feature ships.

Alternatives to Depot and Raycast

Other Infra & APIs products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Depot or Raycast.

See all Depot alternatives → · See all Raycast alternatives →

Recent activity from Depot and Raycast

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 2d agoDepotmacOS 26 is now the default macOS version for GitHub Actions runners
  2. 9d agoDepotDepot CI now supports native GitHub stacked pull requests
  3. 14d agoDepotTest results are now generally available
  4. 22d agoDepotAI analysis available for all Depot CI workflows and jobs
  5. 28d agoDepotSplit CI test suites with historical timing data (beta)
  6. 1mo agoDepotDepot CI now supports Tailscale
  7. 7mo agoRaycastRaycast Wrapped 2025 (year-end recap)
  8. 11mo agoRaycast💻 macOS Tahoe Ready
  9. 1y agoRaycast🎙️ Auto Transcribe with Granola, Auto Models & Bring Your Own Models
  10. 1y agoRaycast🌿 Chat Branching (Experimental)
  11. 1y agoRaycast🔑 Bring Your Own Key
  12. 1y agoRaycast🦙 Local Models

Frequently asked questions

What is the difference between Depot and Raycast?

They serve adjacent needs but don't currently overlap on shipped themes. Depot is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Depot better than Raycast?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Depot is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.

What are the best alternatives to Depot?

Top Depot alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Depot alternatives" section above for the current picks, or visit /alternatives/depot for the full list with editorial commentary on each.

What are the best alternatives to Raycast?

Top Raycast alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Raycast alternatives" section above for the current picks, or visit /alternatives/raycast for the full list with editorial commentary on each.